LongCat-2.5 vs Qwen3 VL 32B Thinking
LongCat-2.5 leads the LLM Stats Score 50.0 to 23.0.
Meituan · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
LongCat-2.5 leads the overall LLM Stats Score 50.0 to 23.0, ranking #20 overall.
In the 2 individual benchmarks reported for both models, LongCat-2.5 wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose LongCat-2.5
- overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Nov 2026
Choose Qwen3 VL 32B Thinking
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
23 reported for LongCat-2.5 · 47 for Qwen3 VL 32B Thinking
LongCat-2.5 outperforms in 2 benchmarks (CharXiv-R, MathVision), while Qwen3 VL 32B Thinking is better at 0 benchmarks.
LongCat-2.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
LongCat-2.5 has 1567.0B more parameters than Qwen3 VL 32B Thinking, making it 4748.5% larger.
Context Window
Maximum input and output token capacity
Only LongCat-2.5 specifies input context (1,048,576 tokens). Only LongCat-2.5 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both LongCat-2.5 and Qwen3 VL 32B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
LongCat-2.5
Qwen3 VL 32B Thinking
Release Timeline
When each model was launched
LongCat-2.5 was released on 2026-11-01, while Qwen3 VL 32B Thinking was released on 2025-09-22.
LongCat-2.5 is 14 months newer than Qwen3 VL 32B Thinking.
Nov 1, 2026
0 days ago
1.1yr newerSep 22, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against LongCat-2.5 and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about LongCat-2.5 vs Qwen3 VL 32B Thinking.